Triple
T14017833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fleesensee |
E337244
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object |
Untergöhren
Untergöhren is a small settlement in the Mecklenburg Lake District of northeastern Germany, situated near Lake Fleesensee and known for its tranquil, lakeside rural setting.
|
E1073366
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Untergöhren | Statement: [Fleesensee, hasNearbySettlement, Untergöhren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Untergöhren Context triple: [Fleesensee, hasNearbySettlement, Untergöhren]
-
A.
Unterterzen
Unterterzen is a small Swiss village on the shores of Lake Walen in the canton of St. Gallen, known as a gateway to the nearby Churfirsten mountain range and the Flumserberg ski area.
-
B.
Unterägeri
Unterägeri is a Swiss municipality in the canton of Zug, known for its scenic location by Lake Ägeri and surrounding pre-Alpine landscapes.
-
C.
Unterdießen
Unterdießen is a small municipality in the district of Landsberg am Lech in Bavaria, Germany.
-
D.
Obergerlafingen
Obergerlafingen is a small municipality in the canton of Solothurn in northwestern Switzerland.
-
E.
Unterrüthen
Unterrüthen is a locality or district within the town of Rüthen in North Rhine-Westphalia, Germany.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Untergöhren Triple: [Fleesensee, hasNearbySettlement, Untergöhren]
Generated description
Untergöhren is a small settlement in the Mecklenburg Lake District of northeastern Germany, situated near Lake Fleesensee and known for its tranquil, lakeside rural setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Untergöhren Target entity description: Untergöhren is a small settlement in the Mecklenburg Lake District of northeastern Germany, situated near Lake Fleesensee and known for its tranquil, lakeside rural setting.
-
A.
Unterterzen
Unterterzen is a small Swiss village on the shores of Lake Walen in the canton of St. Gallen, known as a gateway to the nearby Churfirsten mountain range and the Flumserberg ski area.
-
B.
Unterägeri
Unterägeri is a Swiss municipality in the canton of Zug, known for its scenic location by Lake Ägeri and surrounding pre-Alpine landscapes.
-
C.
Unterdießen
Unterdießen is a small municipality in the district of Landsberg am Lech in Bavaria, Germany.
-
D.
Obergerlafingen
Obergerlafingen is a small municipality in the canton of Solothurn in northwestern Switzerland.
-
E.
Unterrüthen
Unterrüthen is a locality or district within the town of Rüthen in North Rhine-Westphalia, Germany.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d81c6543a48190bd5ba93d7419e797 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2f3b5b088190a58715779d2c46a6 |
completed | April 14, 2026, 12:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbacad948c81909db7187da5a9b97d |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbae186bb881908ea17ae6b12825af |
completed | May 6, 2026, 9:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaebaab508190a609fa151c686a0d |
completed | May 6, 2026, 9:12 p.m. |
Created at: April 9, 2026, 10:19 p.m.